CoMoFoD - Image Database for Copy-Move Forgery Detection

The aim of a digital image forensic is to determine the authenticity of digital images. One of the most common used forgery methods is a copy-move forgery, where part of an image is copied to another location in the same image. A Copy-Move Forgery Detection (CMFD) in digital images is still an open problem.
Numerous algorithms have been proposed as a solution to a copy-move forgery, but there exist only few benchmarking databases for algorithms evaluation.

CoMoFoD database for a copy-move forgery detection consist of 260 forged image sets in two categories (small 512x512, and large 3000x2000). Images are grouped in 5 groups according to applied manipulation: translation, rotation, scaling, combination and distortion. Different types of postprocessing methods, such as JPEG compression, blurring, noise adding, color reduction etc., are applied to all forged and original images.